Student Career Guidance System for Recommendation of Relevant Course Selection
E K Subramanian1, Ramachandran2
1E K Subramanian, Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai (Tamil Nadu), India.
2Ramachandran, Department of Computer Science and Engineering, Saveetha School of Engineering, Chennai (Tamil Nadu), India.
Manuscript received on 27 April 2019 | Revised Manuscript received on 09 May 2019 | Manuscript Published on 17 May 2019 | PP: 493-496 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F11020476S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The increasing number of courses in education nowadays enables students to find their study programs of their interest. But some students end up with confusion to choose from variety of courses and not able to take the right decision for their career . The proposed Students Career Guidance (SCG) software will help them out to choose the career path using data mining. Many students are open to suggestions or forced by others like parents, relatives but after they select a course that aren’t really interested in them and then they are faced with different problems and as a result they don’t excel in it or do it with interest. So, this software intends to create a system that will recommend a course based on some basic details about the students like personal information, academic details, hobbies, co-curricular activities, extracurricular activities and other activities interests, background, aims of the specific person. This software uses school results, students’ school/home activities and academic itinerary interests as inputs to recommend an appropriate study field. The inputs into SCG system were entered in the form of questionnaires which were later analyzed and computed.
Keywords: Education; Data Mining; Students; Performance.
Scope of the Article: Smart Learning and Innovative Education Systems